GeoMM-SSL: Integrating Geospatial Object Relations in Multimodal Self-Supervised Learning for Semantic Segmentation of Remote Sensing Images

Self-supervised learning (SSL) has emerged as a promising approach for pretraining tasks by learning latent task-agnostic representations without labels. Currently, the pretrained SSL models for semantic segmentation of remote sensing images have attracted increasing attention. However, current pret...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Yang Liu, Tong Zhang, Yanru Huang
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Geospatial object relations graph attention network multimodal pretrained models self-supervised learning (SSL) semantic segmentation
Online Access:	https://ieeexplore.ieee.org/document/11095360/